No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by evgenyigumnov · Agent Tool · ★ 74
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is rustsn safe to install? View the security audit →
rustsn - This Rust-based tool generates, compiles, and tests code using LLMs, resolves dependencies, and provides explanations of existing code through embeddings. Features generate function command is used to generate code snippets based on user-provided explanations. TODO: generate application command is used to generate seed project code based on user-provided explanations. ask command is used to get explanation by existing codes of your project based on user-provided question. Supported languages by feature Project name explanation Project name "rustsn" is a combination of "Rust" and "Snippet" words. Code snippet
| Stars | 74 |
| Forks | 15 |
| Language | Rust |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 66.4879866073176/100 |
| Open Issues | 20 |
| Last Updated | 2024-11-14 |
| Created | 2024-09-20 |
| Platforms | rust |
| Est. Tokens | ~87k |
These tools work well together with rustsn for enhanced workflows:
Explore other popular agent tool tools:
rustsn is This Rust-based tool generates, compiles, and tests code using LLMs, resolves dependencies, and provides explanations of existing code through embeddings.. It is categorized as a Agent Tool with 74 GitHub stars.
rustsn is primarily written in Rust.
You can find installation instructions and usage details in the rustsn GitHub repository at github.com/evgenyigumnov/rustsn. The project has 74 stars and 15 forks, indicating an active community.
rustsn is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: